36 citations · 71 across the 11 of their papers we have counts for
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cs.LG2023★ 2 cited
Contrastive Meta-Learning for Partially Observable Few-Shot Learning
Adam Jelley, Amos Storkey, Antreas Antoniou +1
Many contrastive and meta-learning approaches learn representations by identifying common features in multiple views. However, the formalism for these approaches generally assumes…
cs.LG2012★ 1 cited
A Topic Model for Melodic Sequences
Athina Spiliopoulou, Amos Storkey
We examine the problem of learning a probabilistic model for melody directly from musical sequences belonging to the same genre. This is a challenging task as one needs to capture…
cs.LG2012★ 12 cited
Isoelastic Agents and Wealth Updates in Machine Learning Markets
Amos Storkey, Jono Millin, Krzysztof Geras
Recently, prediction markets have shown considerable promise for developing flexible mechanisms for machine learning. In this paper, agents with isoelastic utilities are considered…